Research on Deployment Strategies of Combine Harvesters Based on Intelligent Big Data Platform

Abstract

The current agricultural machinery platforms just provide operational information of farmland and machinery, but not effective decision-making service. The problems of low utilization rate of agricultural machinery and low operation profits emerge as a major issue in the cross-regional operation of combine harvesters. The intelligent big data platform of agricultural machinery, which is firstly introduced, is not only to build an information exchanging platform for farmers and machine hand, but more important to provide the decision-making service. And then the deployment problem of combine harvesters is analyzed and the deployment model is established in the paper. Optimization deployment algorithm with global searching strategies, which is proposed in this paper, makes comparison with deployment algorithm with heuristic searching strategies that has be proposed in the author's previous article at aspects of deployment profit, cost and distances. It is concluded that the two algorithms have different applicable conditions. The better solution with high efficiency and performance can be obtained by the algorithm proposed in this paper.